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AIOps platforms · October 2026 Edition

BigPanda vs PagerDuty AIOps

Zero of fourteen models named BigPanda first on the direct prompt; zero named PagerDuty AIOps. BigPanda was named by fourteen of the fourteen models and PagerDuty AIOps by seven and BigPanda carries 47 labels and PagerDuty AIOps 10, so the shares are not directly comparable.

BigPanda

accepted challenger

Named in two categories this edition.

PagerDuty AIOps

criticized challenger

Named in one category this edition.

First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 10; printed, not drawn.
Labels4710A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BigPanda reading right to left. Rank and label count are printed, not drawn.New Relic was named alongside these two in twelve of the fourteen direct answers. New Relic vs BigPanda · New Relic vs PagerDuty AIOps · Datadog vs BigPanda

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the aiops platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BigPandaFirst choices, of fourteen modelsPagerDuty AIOps
Direct00
Paraphrase632 against BigPanda
Comparative00
Budget-constrained002 against BigPanda · 1 against PagerDuty AIOps
Scale-constrained00
Negative003 against BigPanda · 2 against PagerDuty AIOps
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, BigPanda and PagerDuty AIOps were named in the same answer eighteen times, of the 129 answers naming BigPanda and the 33 naming PagerDuty AIOps. In those answers PagerDuty AIOps took the first choice two times and BigPanda three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where BigPanda and PagerDuty AIOps stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
BigPanda PagerDuty AIOps first choice named as an alternative argued againstblank: not namedEach cell is one answer, BigPanda on the left and PagerDuty AIOps on the right.

The direct prompt

The plain question, one answer per model, grouped by where BigPanda and PagerDuty AIOps stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5PagerDuty alternatives: BigPanda, LogicMonitor, New Relic
Mistral SmallDynatrace alternatives: BigPanda, LogicMonitor, New Relic
DeepSeek V4 FlashLogicMonitor, New Relic alternatives: BigPanda, Freshservice, PagerDuty
Qwen 3.7 FlashDynatrace alternatives: BigPanda, Datadog, Elastic Observability, Grafana Cloud, OpenTelemetry

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDynatrace alternatives: Datadog, New Relic, Splunk
Gemini 3.5 FlashDatadog, LogicMonitor alternatives: New Relic, PagerDuty
Perplexity SonarNew Relic alternatives: Coralogix
Grok 4.1 FastDatadog alternatives: New Relic
Llama 4 MaverickDynatrace
Kimi K2New Relic alternatives: Datadog, LogicMonitor
GLM 4.7 FlashXDynatrace alternatives: Datadog, Freshservice, ManageEngine OpManager Nexus, New Relic
MiniMax M2.5Datadog, New Relic alternatives: Dynatrace
GPT-6 LunaDatadog alternatives: Dynatrace, New Relic
Muse Glimmer 30BDatadog, Dynatrace, New Relic alternatives: Freshservice

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
PagerDuty AIOps leads by three points.
PagerDuty AIOps7%#6 of 16
BigPanda3%#9 of 16
The full small business standing →
Mid-marketThe figures above
The order flips: BigPanda leads at mid-market.
BigPanda11%#4 of 10
PagerDuty AIOps6%#5 of 10
The full mid-market standing →
Enterprise
BigPanda leads by twenty-eight points.
BigPanda28%#2 of 11
PagerDuty AIOps0%#– of 11
The full enterprise standing →

What the models said about BigPanda

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoids the high custom pricing of specialists like BigPanda ($6K+/year base, often $60K+ first year for mid setups)” Grok 4.1 Fast · paraphrase prompt · soft negative
“BigPanda is primarily an alert correlation and deduplication engine, not a full-stack observability platform.” Qwen 3.7 Flash · negative prompt · soft negative
“open-source alternative to expensive event-correlation tools like BigPanda or Splunk ITSI” Gemini 3.5 Flash · budget prompt · soft negative
“Dynatrace and BigPanda are often recommended due to their scalability, ease of integration, and strong noise reduction features” Mistral Small · paraphrase prompt · first choice
“My primary recommendation would be BigPanda if budget allows, as it offers the most comprehensive AI-powered correlation.” Claude Haiku 4.5 · paraphrase prompt · first choice
“If you're already using multiple monitoring tools and alert noise is your biggest problem → BigPanda or Moogsoft” Kimi K2 · paraphrase prompt · first choice

What the models said about PagerDuty AIOps

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“It charges by accepted events, so model your real event stream—including spikes and maintenance windows—before signing.” GPT-6 Luna · negative prompt · soft negative
“though some users find per-user costs steep, so it's best to evaluate their pricing carefully” Mistral Small · budget prompt · soft negative
“Users report steep pricing and a "really struggling in the current market" vibe” GLM 4.7 FlashX · negative prompt · soft negative
“For a typical mid-sized B2B company, PagerDuty AIOps offers the best balance of capability, cost transparency, and ease of deployment.” DeepSeek V4 Flash · paraphrase prompt · first choice
“I'd generally recommend PagerDuty AIOps / Signal Intelligence as the best starting point” GPT-5.4 mini · paraphrase prompt · first choice
“My default recommendation: PagerDuty AIOps” GPT-6 Luna · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.